The BRAIN Initiative supports the development of a diverse portfolio of biomolecular tools and emphasizes their rapid and broad dissemination to the research community. Browse the Addgene collection of plasmids created with support from the BRAIN Initiative.
Reissue of RFA-MH-22-115 to comply with DMSP policy. The purpose of this Brain Research through Advancing Innovative Neurotechnologies (BRAIN) Initiative is to encourage applications that will develop and validate novel tools to facilitate the detailed analysis and manipulation of complex circuits and provide insights into cellular interactions that underlie brain function. Critical advances in the treatment of brain disorders in human populations are hindered by our lack of ability to monitor and manipulate circuitry in safe, minimally-invasive ways.
Reissue of RFA-NS-22-011 to comply with DMSP. No additional receipt dates added. This funding opportunity announcement (FOA) supports efforts to disseminate resources and to integrate them into neuroscience research practice.
The purpose of the NIH BRAIN Initiative Advanced Postdoctoral Career Transition Award to Promote Diversity (K99/R00) program is to enhance workforce diversity in the neuroscience workforce and maintain a strong cohort of new and talented, NIH-supported, independent investigators from diverse backgrounds in BRAIN Initiative research areas.
The goal of the NIH BRAIN Initiative Advanced Postdoctoral Career Transition Award to Promote Diversity (K99/R00) program is to enhance workforce diversity in the neuroscience workforce and maintain a strong cohort of new and talented, NIH-supported, independent investigators from diverse backgrounds in BRAIN Initiative research areas. This program is designed to facilitate a timely transition of outstanding postdoctoral researchers with research and/or clinical doctorate degree from mentored, postdoctoral research positions to independent, tenure-track or equivalent faculty positions.
Reissue of RFA-MH-22-220 to comply with DMSP. This FOA supports the development of software to visualize and analyze the data as part of programs of building the informatics infrastructure for the BRAIN Initiative. Other informatics programs include developing data standards that are needed to describe the new experiments that are being created by or used in the BRAIN Initiative ( RFA-MH-19-146 ), and creating the data infrastructures that will house the data from multiple experimental groups ( RFA-MH-19-145 ).
This funding opportunity announcement (FOA) invites applications for creating the Data Coordination and Artificial Intelligence Center (DCAIC) for the Brain Behavior Quantification and Synchronization (BBQS) Consortium of the BRAIN Initiative. The FOA will support a single award to a multi-disciplinary team with a single or multiple PIs working on the five interrelated areas:1) Data Management; 2) Data Standards; 3) ML/AI Resources; 4) Data Ecosystem; and 5) Dissemination, Training and Coordination.
Reissue of RFA-NS-18-019: Understanding the dynamic activity of neural circuits is central to the NIH BRAIN Initiative. The invention, proof-of-concept investigation, and optimization of new technologies through iterative feedback from end users are key components of the BRAIN Initiative. This FOA seeks applications to optimize existing or emerging technologies through iterative testing with end users.
The purpose of the The Brain Research through Advancing Innovative Neurotechnologies (BRAIN) Initiative Fellows (F32) program is to enhance the research training of promising postdoctorates, early in their postdoctoral training period, who have the potential to become productive investigators in research areas that will advance the goals of the BRAIN Initiative. Applications are encouraged in any research area that is aligned with the BRAIN Initiative, including neuroethics. Applicants are expected to propose research training in an area that clearly complements their predoctoral research.
This R34 Funding Opportunity Announcement (FOA) seeks applications with limited scope proposing a set of planning activities that will lay the groundwork for a scientific project aimed at integrating complementary theories and methods to 1) develop, validate and apply cutting-edge tools and methods for minimally invasive, multi-dimensional, high-resolution measurement of behavior at the level of the organism, with synchronous capture of changes in the organisms social or physical environment; and/or 2) develop computational methods that allow for integration of multidimensional behavioral a